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Digital transformation and innovation ambidexterity: perspectives on accumulation and resilience effects

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  • Xingong Li
  • Xiaokai Li
  • Sheng Ding

Abstract

Purpose - Digital transformation (DT) is among the vital factors contributing to innovation ambidexterity, especially for advanced manufacturing firms (AMFs). However, the empirical studies on the relationship between DT and innovation ambidexterity in AMFs from the perspective of knowledge management are inadequate. Therefore, this study aims to systematically analyze the impact of DT on innovation ambidexterity and its mechanism of action. Design/methodology/approach - This study selects 254 listed firms within the ten key areas of “Made in China 2025,” as they occupy a key position in China’s advanced manufacturing system. Based on the knowledge-based view (KBV) and contingency theory, it constructs a model of the influence mechanism of DT on innovation ambidexterity. Findings - The results show that the DT of AMFs positively influence innovation ambidexterity. External pressure from environmental turbulence enhances the positive relationship between DT and innovation ambidexterity, demonstrating the “resilience effect,” external knowledge search (EKS) and broadening the knowledge base mediating roles between them, highlighting the “accumulation effect.” Originality/value - By identifying this mediation mechanism of DT and innovation ambidexterity, this study provides new ideas for path research on the KBV. Moreover, this study explores the triggering effect of market environmental turbulence on the DT of firms. It reveals the boundary conditions of DT acting on innovation ambidexterity, expands the research perspective on organizational resilience and enriches the theory of power change.

Suggested Citation

  • Xingong Li & Xiaokai Li & Sheng Ding, 2024. "Digital transformation and innovation ambidexterity: perspectives on accumulation and resilience effects," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 28(4), pages 1601-1624, January.
  • Handle: RePEc:eme:ejimpp:ejim-07-2023-0526
    DOI: 10.1108/EJIM-07-2023-0526
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    Cited by:

    1. Hualing Wang, 2024. "A study on the impact of enterprise digital transformation on informed trading," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-21, December.

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